GAN-based Data Augmentation for Chest X-ray Classification. - Shobhita Sundaram; Neha Hulkund (CoRR, 2021)

Predicting Out-of-Domain Generalization with Local Manifold Smoothness. - Nathan Ng 001; Neha Hulkund; Kyunghyun Cho; Marzyeh Ghassemi (CoRR, 2022)

Interpretable Distribution Shift Detection using Optimal Transport. - Neha Hulkund; Nicolò Fusi; Jennifer Wortman Vaughan; David Alvarez-Melis (CoRR, 2022)

Predicting Out-of-Domain Generalization with Neighborhood Invariance. - Nathan H. Ng; Neha Hulkund; Kyunghyun Cho; Marzyeh Ghassemi (Trans. Mach. Learn. Res., 2023)

Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent. - Konstantin Donhauser; Javier Abad Martinez; Neha Hulkund; Fanny Yang (ICML, 2024)

DataS^3: Dataset Subset Selection for Specialization. - Neha Hulkund; Alaa Maalouf; Levi Cai; Daniel Yang; Tsun-Hsuan Wang; Abigail O'Neil; Timm Haucke; Sandeep Mukherjee; Vikram Ramaswamy; Judy Hansen Shen; Gabriel Tseng; Mike Walmsley; et al. (CoRR, 2025)